A Comprehensive Review on Applications, Techniques and Frameworks of Deep Learning

Authors

  • K. Mary Sudha Rani  Assistant Professor, Department of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad, India
  • G. Satvik Kalyan  Student, B.E, Department of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad, India

Keywords:

Deep Learning, models, applications

Abstract

Deep learning in a refined "machine learning" algorithm that far surpasses a considerable lot of its forerunners in its capacities to perceive syllables and picture. Deep learning is as of now a greatly dynamic examination territory in machine learning and example acknowledgment society. It has increased colossal triumphs in an expansive zone of utilizations, for example, speech recognition, computer vision and natural language processing and numerous industry item. Neural network is used to implement the machine learning or to design intelligent machines. Deep learning is a set of learning methods attempting to model data with complex architectures combining different non-linear transformations. The elementary bricks of deep learning are the neural networks, that are combined to form the deep neural networks. This paper gives a detailed review on applications, techniques and frameworks of deep learning.

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Published

2019-12-30

Issue

Section

Research Articles

How to Cite

[1]
K. Mary Sudha Rani, G. Satvik Kalyan, " A Comprehensive Review on Applications, Techniques and Frameworks of Deep Learning, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 6, Issue 6, pp.388-394, November-December-2019.